Data Science and Business Intelligence Manager

Daimler Truck North America

. Lead a cross-functional team of data scientists, data engineers, data analysts, business analysts, and developers .

Posted 10/28/2026full-timeDetroit • Michigan • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading cross-functional teams to develop and execute data strategies, ensuring effective data architecture, governance, and analytics solutions. Proficient in managing complex projects and delivering decision-support solutions while fostering collaboration across various business functions.

Highest-signal resume keywords

Data ArchitectureBusiness IntelligenceSQL ProficiencyCloud-Based Data PlatformsPeople Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAdvanced AnalyticsData EngineeringETL/ELTStatistical AnalysisMachine LearningDimensional ModelingAPIsData QualityGovernance

Soft Skills

Effective CommunicationInfluencing Without AuthorityManaging Competing PrioritiesTeam LeadershipCoaching and Mentoring

Tools & Technologies

Microsoft Power BIMicrosoft AzureAmazon Web ServicesGoogle CloudDatabricksSnowflake

Industry Keywords

Data StrategyCustom SolutionsPredictive AnalyticsDecision-Support SolutionsSelf-Service Analytics

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead a cross-functional team of data scientists, data engineers, data analysts, business analysts, and developers
Establish direction for data strategy, digitalization, and custom solution delivery
Translate business priorities into a practical roadmap and portfolio
Recruit, train, coach, mentor, and manage the data analytics and custom solutions development team
Define and execute a multi-year data, business intelligence, and custom-solutions strategy and roadmap
Assist in defining and maintaining the organization's data architecture vision, strategy, and roadmap
Oversee data integration efforts that consolidate and transform information into governed repositories and reusable data products
Optimize data and information flow, reliability, scalability, performance, accessibility, and storage
Partner with manufacturing, research and development, service, quality, finance, and other functions to identify requirements and deliver analytics products, dashboards, custom applications, integrations, automation, and decision-support solutions
Oversee the full solution lifecycle from discovery and requirements gathering through architecture, design, development, validation, deployment, adoption, support, maintenance, and retirement
Establish governance for data quality, definitions, lineage, access, security, privacy, documentation, model use, and lifecycle management
Define key performance indicators and measurement frameworks; ensure dashboards and reports provide consistent, trusted, decision-ready information
Identify and prioritize opportunities for predictive analytics, machine learning, optimization, and responsible generative AI
Collaborate with global teams to define standards and processes supporting strategic growth, technology standardization, and IT service operations
Communicate analytical findings, business value, technical trade-offs, risks, and recommendations to technical teams, business partners, and senior leaders
Manage the team portfolio, vendors, budgets, capacity, dependencies, operational support, technical debt, and delivery risks
Promote reusable solutions, self-service analytics, technical standards, continuous improvement, and knowledge sharing
Challenge the status quo while maintaining reliable day-to-day services

Requirements

What you’ll need

Typically requires a Bachelor’s Degree
Typically requires 8 years of relevant experience
Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, information systems, business analytics, or a related field, or an equivalent combination of education and relevant experience
8 or more years of progressive experience in data science, business intelligence, advanced analytics, data engineering, or related information technology disciplines
2 or more years of formal people leadership or demonstrated experience leading and developing analytics or data teams
Experience translating ambiguous business needs into prioritized roadmaps, requirements, analytical approaches, and scalable production solutions
Strong working knowledge of data architecture, dimensional and semantic modeling, data warehouses or lakehouses, integration patterns, ETL/ELT, APIs, metadata, data quality, and governance
Proficiency with SQL and experience with Python, R, or a comparable analytical programming language
Experience with business intelligence and visualization platforms such as Microsoft Power BI, or comparable tools, including dashboard design and governed self-service analytics
Experience with cloud-based data and analytics platforms such as Microsoft Azure, Amazon Web Services, Google Cloud, Databricks, or Snowflake
Understanding of statistical analysis, forecasting, experimentation, machine learning, model evaluation, and controls needed to deploy and monitor analytical and AI solutions responsibly
Demonstrated ability to lead cross-functional initiatives, influence without direct authority, manage competing priorities, and communicate effectively with technical and non-technical stakeholders
Experience managing projects, products, vendors, budgets, and operational support in a complex enterprise environment
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
U.S. work authorization or qualifying visa eligibility as specified

Benefits

Comp & perks

Hybrid schedule: 4 days per week in-office / 1 day remote
U.S. Visa sponsorship available if you qualify under specified visa categories
Equal employment opportunities and accommodation or special assistance with applying
Potential pre-employment drug screen and criminal background check as part of the hiring process